[R] survival data with competing risks and time-dependent covariates!

Stefan Grosse singularitaet at gmx.net
Sun Mar 28 15:41:49 CEST 2010

Am 28.03.2010 15:08, schrieb sdzhangping:
>   I¡¯m very interested in the analysis of survival data of leukemic patients, which involves competing risks and time-dependent covariates (infections or relapse of leukemia after BMT). In my present work, I¡¯d like to estimate the risk of chemotherapy, BMT or gvhd on the onset and prognosis of invasive fungal infections (IFI). In detail, the leukemic patients will receive several cycles of chemotherapy and some of them will receive BMT. The patients have three outcomes, that¡¯s acquisition of IFI, death free from IFI or IFI free survival. My puzzle is: 
> (1)Dose multi-state model fit this situation? 
> (2)I tried to fit coxphf model:  fit = coxphf(Surv(start,stop,ifi==1)~bmt, data=ifi). The system always goes wrong when variable ¡°gvhd¡± was fitted. [coxphf(Surv(start,stop,ifi==1)~bmt+gvhd, data=ifi)]. Is there something wrong with my data format?
> ted, minimal, self-contained, reproducible code.

You were posting exactly this question already on Friday twice and then
today twice. You have been pointed out that you might be using the wrong
function. So why should anyone answer you question when you do not show
any effort? You did not even ask back.


More information about the R-help mailing list